Integrating AI-capabilities into video conferencing systems can add real value
Gone are the days when video conferencing was only used in large boardrooms for formal presentations and meetings. Today, the system has evolved and businesses are shifting their focus to create a flexible working environment. Fortunately, the video conferencing industry is further expected to blow up with the help of emerging Artificial Intelligence (AI) applications.
The Covid-19 pandemic marked a milestone for the video conferencing sector. More enterprises and government organisations are considering video conferencing as an ultimate solution to connect with remote workers, customers, and employees. According to a recent report, 43% of remote and in-house teams use a video conference solution and 73% of corporate companies use video calling software. It is not surprising that a growing number of businesses are investing in huddle rooms and multi-purpose breakout areas that are equipped with video devices. Artificial intelligence is not only revolutionising the way we design technology, but how we use it. In this modern era of video conferencing that is driven by innovations in big data analytics, automation, computer vision, NLP, we are already witnessing a paradigm shift in technology. Video conferencing is already a futuristic technology. By infusing AI applications in the mechanism, it becomes more sophisticated and advanced. Designing these capabilities into commonplace devices like video conferencing systems can add real value.
Voice-to-text transcription
Workplaces are rapidly shifting to cloud systems. The only way they can gather everyone and hold a meeting during remote working is through video conference. However, unlike physical meetings, the art of taking quick notes become critical in the virtual circumstance. Unfortunately, some of the usual difficulties like people talking over each other, going off-topic or going unheard are making it even worse. However, voice-to-text transcription can be a savior at times like this. Machine learning helps figure accurate words and transcribes it to text format. It identifies every speaker and segments their part of the meeting. For example, when a medical team holds virtual meetings, technical terms are very important. Transcription technology helps them find particular content and prevents confusion or misunderstanding. This technology can also break the language barrier by transcribing any language speech to English or any other common language in real-time.
NLP to sharpen speaker’s voice
Natural Language Processing (NLP) is already employed in video conferencing. The application currently helps muffle background noise and balance sounds automatically. By enabling its advancements, NLP can even automatically suppress echo and minimize background noise far better than how it is doing now. The technology is capable of filtering human voice from other sounds like wind blowing or paper rustling noise. If NLP is espoused with evolving techniques such as automatic leveling and beamforming, it will make everyone in the meeting easy to hear and understand.
Analyzing meeting room
Artificial intelligence is well-known for its analytics and decision-making technology. Leveraging these amazing features in video conferencing will further unfold possibilities. AI analytics can keep track on how long a meeting goes to find what does and doesn’t work for you. AI can also make predictions to suggest apps files you might need during the virtual meeting. They also suggest what time you need to keep free for an effective meeting. AI analytics can give real-time insights into the flow of meeting, making it easy to abstract the actual content. It can eventually assist the technological background of the calls by tracking where people’s internet might struggle and adjust accordingly to avoid call dropout.
Computer vision stabilizes video call visibility
Computer vision provides a clear video experience to users. Computer vision frames automatically adjust the zoom to deliver a better time for those on the far ends. It can also follow people’s movements, which is great if they need to get up or show something in the background. Already, computer vision is doing well in covering the background as needed to give people working from home a sense of privacy. In future, the technology is expected to leverage further options like adjusting the colour, balancing lighting issues, stand-by unstable cameras and even allow for interactive backgrounds.
Live Chatbots and virtual assistants
Being interactive is the face of marketing. In the era of constant lockdowns and an unstable economy, live chatbots and virtual assistants stand as a rescue source that manages cumbersome customer support workflow. AI-powered chatbots can provide a consistent on-brand user experience in addition to intersecting your email marketing and CRM for easy flow-up workflow. Chatbots and virtual assistants recognize behavioral changes of consumers and act accordingly to address their need.
This article has been published from a wire agency feed without modifications to the text. Only the headline has been changed.
